Triple
T26017517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenfilm Studios |
E647061
|
entity |
| Predicate | significantAward |
P11
|
FINISHED |
| Object | Palme d'Or (via The Cranes Are Flying) |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Palme d'Or (via The Cranes Are Flying) | Statement: [Lenfilm Studios, significantAward, Palme d'Or (via The Cranes Are Flying)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantAward Context triple: [Lenfilm Studios, significantAward, Palme d'Or (via The Cranes Are Flying)]
-
A.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
B.
awardReceived
chosen
Indicates that an entity has been granted or honored with a specific award or recognition.
-
C.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
D.
awardType
Indicates the specific category or kind of award associated with an entity or event.
-
E.
awardName
Indicates the specific name or title of an award associated with an entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 22, 2026, 9:03 a.m.